PhD Research: Bayesian Networks for Cybersecurity

Mission

Development of advanced probabilistic modeling methods using Bayesian and Markov networks for threat anticipation and system resilience improvement in cybersecurity. Research focused on predictive methods and innovative probabilistic approaches for enhanced security systems.

Contexte & Environnement

Cybersecurity systems face increasing complexity with sophisticated threats that require advanced predictive capabilities. Traditional reactive approaches are insufficient for modern threat landscapes, necessitating probabilistic modeling methods for threat anticipation and system resilience enhancement.

Objectifs Cles

Technologies & Infrastructure